For logistics and warehousing

Assist delivery-note and POD preparation with status for team review

For warehousing and transport operators still chasing PODs that drivers photograph and send over chat, then keying each document number in by hand.

Image quality, signatures, and stamps can affect data capture, so we test with your real shipping documents before recommending an approach.
Automated reading of shipping and goods-receipt documents
What warehouse operations actually deal with

The paperwork that delays billing and breaks your counts

PODs come back as photos and get keyed in one by one

Drivers photograph the delivery note and send it back; admin staff open each photo and type the document number into the system, so the bottleneck sits with a handful of people.

Missing PODs surface only when billing is rejected

Nobody knows which document has not come back until the billing cycle, then someone chases it retroactively across several weeks.

Physical counts do not match the paperwork

Received quantities drift from what the delivery note says, but it is found days later with no way to trace the source.

No real status until end of day

Data sits in each person's own spreadsheet, so nobody can answer a customer immediately about where a shipment is.

What we put in place

Starting with whichever document you handle most

AI-OCR

Read delivery notes and PODs automatically

Extracts document number, date, recipient, and quantity from the photo the driver sends back — handling skewed images, overlapping signatures, and stamps.

Workflow

Track outstanding PODs from one screen

Matches PODs to their delivery notes automatically where it is confident, routes the rest to a person, and flags anything overdue.

Dashboard

One shared view of inbound and outbound status

Consolidates existing systems so every team sees the same numbers and can answer customers without calling the floor.

Example engagement

A warehousing and transport operator in Samut Prakan

Admin staff waited for drivers to send PODs back as photos, then keyed each document number in one at a time — delaying the billing cycle and losing track of missing PODs.

The shape of the engagement: connect AI-OCR to the POD intake step so the system reads document numbers and matches them to delivery notes itself, sends what it is unsure about to a person, and puts outstanding PODs on one screen. The real saving is measured against each operator own billing cycle, before and after.

One screen
Shows every POD still outstanding
Sample documents
Used to define an assessment for your actual formats
Confirm before starting
Assessment method, queue, timing, and fees
Who this fits

If your operation matches these, it is worth a conversation

  • Enough shipping documents to keep someone keying
  • PODs come back as photos or scans
  • Admin staff spend most of their time keying documents
  • An existing WMS or ERP the data must land in
Not a fit yet if

We will say so plainly if it is not worth starting

  • Everything is already digital via EDI with no manual keying
  • Document volume is low enough for one person to handle in a few hours a week
  • No one on the team clearly owns the POD intake process yet
Start with your own numbers

Send 10 real PODs or delivery notes and see how accurately they read

This may include angled photos, signatures, or stamps. The team confirms scope, timing, fees, and data handling before assessment begins.